Xiaobo Liang

According to our database, Xiaobo Liang authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations.

Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing Li

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

Are the BERT family zero-shot learners? A study on their potential and limitations.

Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang

Artif. Intell., September, 2023

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction.

Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., January, 2023

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation.

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Open-ended Long Text Generation via Masked Language Modeling.

Xiaobo Liang, Zecheng Tang, Juntao Li, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dynamic and Efficient Inference for Text Generation via BERT Family.

Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Multi-Teacher Distillation With Single Model for Neural Machine Translation.

Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation.

Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

C²-Rec: An Effective Consistency Constraint for Sequential Recommendation.

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

CoRR, 2021

R-Drop: Regularized Dropout for Neural Networks.

Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Star Identification Algorithm Based on Image Normalization and Zernike Moments.

Xiaobo Liang, Wenli Ma, Jin Zhou, Sijie Kong

IEEE Access, 2020

2018

TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph.

Feiliang Ren, Yining Hou, Yan Li, Lingfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu

CoRR, 2018

Neural Relation Classification with Text Descriptions.

Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling.

Lingfeng Pan, Yi Zhang, Feiliang Ren, Yining Hou, Yan Li, Xiaobo Liang, Yongkang Liu

Proceedings of the Evaluation Tasks at the China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), 2018

An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention.

Yongkang Liu, Xiaobo Liang, Feiliang Ren, Yan Li, Yining Hou, Yi Zhang, Lingfeng Pan

Proceedings of the Evaluation Tasks at the China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), 2018